Natural Product: NPC497234

Natural Product IDNPC497234
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Xylaroside B
IUPAC Name (2~{R},3~{S},4~{S},5~{R},6~{R})-2-(hydroxymethyl)-6-[2-(hydroxymethyl)-3-propyl-phenoxy]tetrahydropyran-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey XOJDXWQXVJUJLQ-LJIZCISZSA-N
Standard InCHI InChI=1S/C16H24O7/c1-2-4-9-5-3-6-11(10(9)7-17)22-16-15(21)14(20)13(19)12(8-18)23-16/h3,5-6,12-21H,2,4,7-8H2,1H3/t12-,13-,14+,15-,16+/m1/s1
SMILES CCCC1=CC=CC(O[C@H]2O[C@H](CO)[C@@H](O)[C@H](O)[C@H]2O)=C1CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   328.15 Volume:   321.802
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Van der Waals volume.
Dense:   1.02 LogP:   0.425
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.951
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.324
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   12.0
TPSA:   119.61
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   5.0 Rings:   2.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.469 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.631 Fsp3:   0.625
MCE-18:   47.385
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.294 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.057
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.056
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.227 Promiscuous compounds:   0.004

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.375 MDCK Permeability:   -4.82
Pgp-inhibitor:   0.003 Pgp-substrate:   0.24
PAMPA:   0.807
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The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.183
20% Bioavailability (F20%):   0.064 30% Bioavailability (F30%):   0.937
50% Bioavailability (F50%):   0.865

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.132 MRP1:   0.105
Plasma Protein Binding (PPB):   75.263% Volume Distribution (VD):   -0.225
Fu: 27.221%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.924
OATP1B3 inhibitor:   0.891 BCRP inhibitor:   0.038
BSEP inhibitor:   0.742

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.004 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.015 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.013 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.763
HLM stability:   0.168
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Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  3.146 Half-life (T1/2):  2.557

ADMET: Toxicity

hERG Blockers:  0.035 hERG Blockers (10um):  0.286
Human Hepatotoxicity (H-HT):  0.464 Drug-induced Liver Injury (DILI):  0.215
AMES Toxicity:  0.534 Rat Oral Acute Toxicity:  0.013
Maximum Recommended Daily Dose:  0.03 Skin Sensitization:  0.975
Carcinogencity:  0.165 Eye Corrosion:  0.001
Eye Irritation:  0.455 Respiratory Toxicity:  0.078
Drug-induced Neurotoxicity:  0.038 Ototoxicity:  0.949
Hematotoxicity:  0.259 Drug-induced Nephrotoxicity:  0.684
Genotoxicity:  0.007 RPMI-8226 Immunitoxicity:  0.081
A549 Cytotoxicity:  0.103 Hek293 Cytotoxicity:  0.095
BCF:   0.611
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Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   3.015
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.282
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.5
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO46847 Xylaria sp. PSU-D14 Genus Xylariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO44735 Xylaria sp.PSU-D14 Genus Xylariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC497234 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.6667 Remote Similarity NPC226712
0.6071 Remote Similarity NPC608788
0.5968 Remote Similarity NPC34456
0.5926 Remote Similarity NPC269242
0.5738 Remote Similarity NPC26653
0.5614 Remote Similarity NPC299144
0.5577 Remote Similarity NPC228907
0.5536 Remote Similarity NPC294470
0.5507 Remote Similarity NPC101116
0.55 Remote Similarity NPC40377
0.55 Remote Similarity NPC215833
0.5455 Remote Similarity NPC212729
0.5455 Remote Similarity NPC604498
0.5455 Remote Similarity NPC610808
0.5429 Remote Similarity NPC328093
0.541 Remote Similarity NPC218685
0.5385 Remote Similarity NPC269421
0.5345 Remote Similarity NPC60589
0.5345 Remote Similarity NPC469708
0.5333 Remote Similarity NPC166168
0.5333 Remote Similarity NPC166040
0.5254 Remote Similarity NPC200092
0.5238 Remote Similarity NPC80600
0.5172 Remote Similarity NPC9248
0.5167 Remote Similarity NPC69513
0.5152 Remote Similarity NPC146540
0.5143 Remote Similarity NPC278329
0.5088 Remote Similarity NPC217854
0.5085 Remote Similarity NPC609376
0.5079 Remote Similarity NPC205054
0.5079 Remote Similarity NPC606892
0.5067 Remote Similarity NPC298847

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC497234 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.6667 Remote Similarity NPD1091 Pre-clinical

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data